A MULTI-STAGE MACHINE LEARNING FRAMEWORK FOR EFFECTIVE SQL INJECTION DETECTION USING DATA AUGMENTATION AND CONTEXTUAL FEATURE EXTRACTION.

SQL Injection (SQLi) remains one of the most critical security threats to modern web applications, exploiting vulnerabilities in database query handling to gain unauthorized access to sensitive data. Traditional signature- based detection methods often fail to identify novel or obfuscated attack pat...

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Publicado en:	Scientific Culture Vol. 12; no. 2, Part 1; pp. 781 - 797
Autores principales:	Awadelkarim, Awad M., Alsamiri, Reem A., Bushnag, Anas, Chaabane, Slim Ben, Mustafa, Mohammed
Formato:	Artículo
Publicado:	University of the Aegean 2026
Materias:	Generative adversarial networks Intrusion detection systems (Computer security) Computer software security Machine learning Random forest algorithms Long short-term memory Language models Data augmentation
Acceso en línea:	Ver este registro en EBSCOhost